Recent Publications
Publications The latest 10 papers published or under reviewAdaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong C. Park
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
(Accepted)
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
(Accepted)
Augmentation of Sign Language Poses by Including the Understanding of the Sign Language Domain by Body Part
Aujin Kim
MS Thesis, KAIST, 2023.
MS Thesis, KAIST, 2023.
Capturing Ambiguity in Natural Language Understanding Tasks with Information from Internal Layers
Hancheol Park
PhD Dissertation, KAIST, 2023.
PhD Dissertation, KAIST, 2023.
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering
Sukmin Cho, Jeong yeon Seo, Soyeong Jeong, and Jong C. Park
Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP), Dec 6-10, 2023.
Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP), Dec 6-10, 2023.
Test-Time Self-Adaptive Small Language Models for Question Answering
Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong C. Park
Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP), Dec 6-10, 2023.
Findings of the Empirical Methods in Natural Language Processing (Findings of EMNLP), Dec 6-10, 2023.
Knowledge-Augmented Language Model Verification
Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, and Sung Ju Hwang
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 6-10, 2023.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 6-10, 2023.
Generation of Korean Offensive Language by Leveraging Large Language Models via Prompt Design
Jisu Shin, Hoyun Song, Huije Lee, Fitsum Gaim, and Jong C. Park
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Nov 1-4, 2023.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), Nov 1-4, 2023.
Iterative Feedback-based Personality Persona Generation for Diversifying Linguistic Patterns in Large Language Models
Taeho Hwang, Hoyun Song, Jisu Shin, Sukmin Cho, and Jong C. Park
Proceedings of the 35th Annual Conference on Human & Cognitive Language Technology (HCLT), Oct 12-13, 2023.
Proceedings of the 35th Annual Conference on Human & Cognitive Language Technology (HCLT), Oct 12-13, 2023.
Political Bias in Large Language Models and Implications on Downstream Tasks
Jeong yeon Seo, Sukmin Cho, and Jong C. Park
Proceedings of the 35th Annual Conference on Human & Cognitive Language Technology (HCLT), Oct 12-13, 2023.
(selected as best paper)
Proceedings of the 35th Annual Conference on Human & Cognitive Language Technology (HCLT), Oct 12-13, 2023.
(selected as best paper)
Deep Model Compression Also Helps Models Capture Ambiguity
Hancheol Park and Jong C. Park
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 9-14, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 9-14, 2023
